جستجوی استاد راهنمای دانشگاهی

• Energy Engineering
• Home Automation
• Learning Algorithms
• +۱۲ مورد دیگر

Per Printz Madsen is an Associate Professor in the Department of Computer Science at Aalborg University, under The Technical Faculty of IT and Design. His research focuses on distributed, embedded, and intelligent systems with applications in energy efficiency, smart buildings, and renewable energy integration. His research interests span energy engineering, home automation, learning algorithms, fuzzy systems, neural networks, and intelligent control systems. He applies computational intelligence to optimize energy consumption in buildings and district heating systems, with a strong emphasis on real-world implementation through digital twin technology and supervisory control. The recent publications highlight a consistent trend in energy management systems, particularly in forecasting, load control, and energy brokerage in smart grids and buildings. The work emphasizes the integration of renewable generation and storage, leveraging machine learning and distributed control architectures to improve energy efficiency and reduce CO 2 emissions. He has been involved in several major research projects including ENCOURAGE, Homeport, Flexnet, and Mediterranean Virtual University, funded by entities such as Artemis JU and the Danish Enterprise and Construction Authority. These projects demonstrate sustained external funding and collaborative research across Europe. Madsen contributes regularly through technical reports and conference proceedings, primarily through Aalborg University. His work is applied and systems-oriented, targeting practical deployment in energy infrastructure. He is affiliated with the Distributed, Embedded and Intelligent Systems research group at Aalborg University, where he conducts interdisciplinary research bridging computer science and energy engineering to develop intelligent solutions for sustainable energy systems.

Zhe Chenمشاهده پروفایل

استاد

• Wind Turbine Engineering
• Power Engineering
• Control Strategy
• +۷ مورد دیگر

Professor Zhe Chen is a distinguished academic at Aalborg University's Faculty of Engineering and Science, where he leads research in Electric Power Systems and Microgrids within the Intelligent Energy Systems and Flexible Markets department. With an extensive publication record spanning over two decades and more than 1,200 publications, he has established himself as a leading expert in power engineering and renewable energy systems. Professor Chen's research focuses on Wind Turbine Engineering, Power Engineering, Control Strategy, Wind Power Engineering, Energy Engineering, and Reinforcement Learning. His work bridges theoretical advancements with practical applications in smart grid technology and microgrid systems. His research interests center around developing innovative solutions for renewable energy integration, power system stability, and efficient energy management. His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional power engineering, particularly in applying deep reinforcement learning to power system control, state estimation with noisy data, and optimization of power electronic converters. His work shows increasing focus on carbon emissions optimization, thermal management in power electronics, and the application of advanced neural network architectures to energy systems. MPCE 2023 Best Paper Award for research on reinforcement learning applications in electric vehicles MPCE 2022 Best Paper Award for distribution network optimization MPCE 2021 Best Paper Award for reinforcement learning in energy systems WATAB Best Paper Award 2005 for offshore wind farm research IEEE Fellow recognition for contributions to power electronics and renewable energy systems Professor Chen has supervised 27 PhD students throughout his career, demonstrating his commitment to academic mentorship. His current research is supported by significant grants including the Erasmus+ funded S3SF project (Smart Energy Solutions for a Sustainable Future) and multiple projects focused on machine learning-based stability analysis for multi-energy systems. His collaborative work spans numerous international partnerships, with recent projects involving researchers from China, Europe, and other global institutions. Professor Chen leads a research team focused on intelligent energy systems, working on advanced control strategies for microgrids, power quality analysis, and the integration of renewable energy sources into existing power infrastructure. His team is particularly known for innovative approaches to wind power integration and DC microgrid technologies.

Anders Schmidt Kristensenمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Risk Analysis
• CAD
• +۸ مورد دیگر

Anders Schmidt Kristensen is an Associate Professor at Aalborg University's Faculty of Engineering and Science, affiliated with the Esbjerg Energy Section and the Danish Centre for Risk and Safety Management. His work spans mechanical engineering, computational mechanics, and risk analysis, with a focus on structural design optimization and safety systems. Specializes in CAD-integrated structural modeling and finite element method (FEM) simulations Active in offshore energy and space debris mitigation research Key technologies: drag sail systems for satellite deorbiting, wind turbine power quality control, and tube-tubesheet joint modeling Recent research trends include: Structural health monitoring under thermal stress Optimized evacuation protocols for sports venues Advanced numerical modeling techniques for industrial components

Guangya Yangمشاهده پروفایل

دانشیار

• Power System Stability
• Offshore Wind Energy
• Cyber-Physical Power Systems
• +۷ مورد دیگر

Guangya Yang is an Associate Professor at the Department of Wind and Energy Systems, Technical University of Denmark (DTU), with expertise in power system stability, control, and protection of low-inertia systems, particularly in offshore wind applications. He has worked full-time as an electrical design and simulation specialist at Ørsted (2020-2021) and maintains active roles in IEEE, IEC standardization, and editorial work as lead editor for IEEE Access PES. PhD in Electrical Engineering (University of Queensland, 2008) Senior Member of IEEE Former expert member of European Technology & Innovation Platform for solar PV His research focuses on electromagnetic transient simulation, cyber-physical energy systems, and grid compliance for wind power plants. He leads the Horizon 2020 InnoCyPES project (€12m+ grants), training 15 early-stage researchers in cyber-physical energy systems. Key contributions include validating synchronous condensers for low-inertia systems and developing industry training programs on offshore wind control strategies. Coordinated Hardware-in-the-Loop test bench standards (IEC61400-21-5) Advances in grid-forming converter stability and fault ride-through assessment Developed digital twins for power grid validation Scientific Recognition: World’s Top 2% Scientists (Elsevier/Stanford, 2024) Advising & Grants: Supervises 5 PhD students in projects related to machine learning, digital twins, and predictive maintenance. Coordinates €12m+ in research grants, including Horizon 2020’s InnoCyPES. Labs & Collaborations: Works with Ørsted, industry partners, and international universities on offshore wind validation and digitalization.

Fateme Aghaeeمشاهده پروفایل

پژوهشگر

• Drone Engineering
• Control Systems
• Microgrids
• +۴ مورد دیگر

Fateme Aghaee is a Researcher at the University of Southern Denmark (SDU), affiliated with the Institute of Mechanical and Electrical Engineering . Her work spans multiple domains, including drone control systems and microgrid technology. Role: Researcher and educator Key Collaborations: SDU Mechatronics (CIM) and international researchers Her research focuses on advanced control systems for autonomous systems and power engineering solutions. She has contributed to cooperative drone control and resilient microgrid design through peer-reviewed publications. Recent publication trends highlight her expertise in: Drone Engineering: Cooperative control, slung-load dynamics Microgrid Technology: Distributed control, noise-resilient systems Communication Challenges: Packet loss, latency compensation She received the 1st award in Real-World Challenge on Multi-Robot Systems (2024) , underscoring her impact in cooperative robotics. Her teaching includes Control Engineering 2 , reflecting her technical specialization.

René Forsbergمشاهده پروفایل

استاد

• Geodesy
• Earth Observation
• Gravimetry
• +۱۲ مورد دیگر

René Forsberg is a Professor in the Department of Space Research and Technology at the Technical University of Denmark (DTU), affiliated with the Geodesy and Earth Observation section and the Center for Quantum Technologies. His work integrates satellite and airborne remote sensing with geodetic modeling to study Earth's polar regions and gravitational field. His research spans geodesy, Earth observation, gravimetry, and quantum sensing, with a strong focus on polar ice sheets, satellite altimetry (CryoSat, ICESat-2), geoid modeling, and climate change impacts. He actively contributes to understanding mass balance in Greenland and Antarctica, Arctic sea ice dynamics, and the application of quantum technologies in airborne gravimetry. The recent publications highlight a strong trend in quantum-enabled gravity measurements, high-resolution ice sheet mapping, and multi-sensor integration for Arctic and Antarctic observations. His work leverages data from ESA and NASA missions and contributes to global datasets used in climate modeling and geophysical studies. René Forsberg has not been explicitly mentioned with any scientific awards in the provided text. He is actively advising multiple PhD students, including B. Dale, B. Jenny, R. M. F. Hansen, H. Teitsson, and A. R. Stokholm, on projects involving quantum gravimetry, Arctic sea ice, and geoid determination. He has secured and led several funded research projects, such as 'Gravimetry from aircraft and drones' and 'Earth Observation and Artificial Intelligence for Automatic Arctic Sea Ice Charting', indicating sustained grant support. He is involved in research teams and labs focused on geodesy and Earth observation at DTU Space, particularly those working on quantum gravity sensors, satellite altimetry data analysis, and Arctic/Antarctic field campaigns. His collaborations extend to international agencies like the European Space Agency and NASA, as well as pan-Arctic research networks.

• Particle physics
• High-energy physics
• Beyond Standard Model
• +۷ مورد دیگر

Jørgen Beck Hansen is an Associate Professor at the Niels Bohr Institute , University of Copenhagen, specializing in Experimental Subatomic Physics . His career spans roles at CERN and NBI, focusing on particle physics detectors, high-energy collisions, and computational methods. Education: Ph.D. in Particle Physics (1996) and M.Sc. in Physics (1993) from the University of Copenhagen. Research interests include two-boson physics at the ATLAS detector, precision measurements within the Standard Model, effective Lagrangian densities, and searches for new physics beyond the Standard Model (e.g., Higgsless theories, extra dimensions). He also works on GRID computing and distributed data analysis. Recent trends in his research involve Higgs boson studies, vectorlike top quarks, photonuclear collisions, and detector trigger optimization. Collaborative efforts with the ATLAS Collaboration and Danish NORDUGRID team highlight his interdisciplinary approach. Scientific awards : Skou Stipend (Assistant Professor) from the Danish Natural Science Council Teaching and supervision include mentoring 5 summer students, 2 Ph.D., 4 Master's, and 10 Bachelor's students. He has contributed to popular science through Danish Cosmic Rays at Schools and public lectures. Labs and teams : Actively involved in the ATLAS Collaboration and the Danish NORDUGRID team for distributed computing infrastructure.

Sam Roozbehaniمشاهده پروفایل

پژوهشگر ارشد

• Microgrid Engineering
• Inverter Engineering
• Reactive Power Engineering
• +۵ مورد دیگر

Sam Roozbehani serves as a Postdoctoral Research Fellow at the Department of Engineering Technology and Didactics Energy Technology and Computer Science, Technical University of Denmark (DTU), Ballerup campus. His research in power systems engineering directly supports UN Sustainable Development Goals for affordable and clean energy, with expertise spanning microgrid stability, inverter control, and advanced power system protection mechanisms. His primary research domains include Microgrid Engineering, Inverter Engineering, and Reactive Power Engineering, with specialized focus on fault ride-through coordination, grid-forming/grid-following inverter architectures, and advanced control techniques like fractional-order sliding mode control. Current investigations address critical challenges in renewable integration resilience, particularly voltage stability during grid faults and optimal control of hybrid photovoltaic-battery systems in microgrids. Analysis of his 2025 publications reveals concentrated efforts on real-time solutions for inverter-based microgrid stability, with significant contributions to fault management protocols and frequency regulation in industrial energy clusters. His work demonstrates consistent emphasis on practical implementations of control algorithms for wind turbine systems and eco-industrial applications. Dr. Roozbehani actively contributes to two major research initiatives: Electric weed control in seed crops - Developing electrical methods for sustainable agricultural weed management GRACE project - Creating grid capacity-aware investment frameworks for eco-industrial clusters to optimize sector coupling and renewable integration These projects involve cross-disciplinary collaboration with DTU researchers in energy systems and environmental engineering, targeting near-term industrial implementation.

Saeed Golestanمشاهده پروفایل

دانشیار

• Microgrids
• Power Systems
• Renewable Energy
• +۵ مورد دیگر

Saeed Golestan is an Associate Professor at Aalborg University's Faculty of Engineering and Science, specializing in the Electric Power Systems and Microgrids department. He focuses on advanced control strategies for power systems, microgrid stability, and renewable energy integration. His work includes projects like InnoWindFaultRiForm (EU-funded, 2025–2027) addressing fault ride-through solutions in wind power plants, and REMCE (2021–2024) developing renewable energy minigrids in Ethiopia. Key research interests include phase-locked loops, grid-forming control, and AI-driven energy management. He has authored over 120 publications, with recent work exploring quantum computing for load forecasting and neural networks for microgrid optimization. His projects emphasize practical applications in sustainable energy systems and electric vehicle infrastructure. PhD supervision: 1 advisee (details unspecified). Grants: Multiple EU and industry-funded projects totaling €[unknown] in research support. Labs/Teams: Active in interdisciplinary teams at AAU Energy, collaborating with institutions globally on smart grid and renewable energy initiatives.

Michele Albanoمشاهده پروفایل

دانشیار

• Internet of Things (IoT)
• Energy Engineering
• Quality of Service (QoS)
• +۵ مورد دیگر

Affiliations & Roles Michele Albano is an Associate Professor at the Department of Computer Science, Aalborg University, Denmark. He is affiliated with The Technical Faculty of IT and Design, focusing on research in IoT, Cyber-Physical Systems, and Edge Computing. He leads the Productive4.0 project (2017–2020), funded by Horizon Europe, addressing Industry 4.0 challenges in product lifecycle management. His work integrates formal verification tools like Uppaal with real-world applications in robotics, energy systems, and blockchain-based platforms. Research Interests Albano's research spans IoT architecture optimization , energy-efficient systems , and model-driven engineering . He develops tools for autonomous exploration algorithms (MAES), edge-cloud resource orchestration, and fault-tolerant computation offloading. His work bridges theoretical models (e.g., Uppaal SMC) with practical implementations in smart grids and robotic systems. Recent projects include blockchain-based crowdsourcing for machine learning and energy-aware thermal dynamics estimation in buildings. Collaborations & Impact He collaborates with the European Industry 6.0 community, contributing to the Arrowhead Framework for interoperable IoT systems. His research outputs include 112 publications, with 2025 highlights in human-inspired robotics and cognitive cloud frameworks. Media coverage in 2024–2025 highlights his work on green IT and secure API generation. Albano advises students on system modeling (e.g., ACSmt plugin development) and edge computing optimization. Labs & Teams His research group focuses on Cyber-Physical Systems and Smart Grids , with contributions to tools like RoutesMobilityModel and FlexHousing. He actively participates in workshops on New Trends in Software Architecture (SATrends '24) and IEEE conferences on Industrial Informatics.

Olena Kalyanova Larsenمشاهده پروفایل

دانشیار

• Energy Engineering
• Building Simulation
• Thermal Comfort
• +۴ مورد دیگر

Olena Kalyanova Larsen is an Associate Professor at Aalborg University's Department of the Built Environment, part of the Faculty of Engineering and Science. Her work focuses on energy-efficient building technologies, particularly double-skin facades and ventilation systems. She leads projects like I-DIFFER (integrating double-skin facades and diffuse ceiling ventilation for school renovations) and EDYCE (dynamic energy certification systems). Her research emphasizes thermal comfort, indoor environmental quality, and sustainable renovation strategies. Key contributions include over 100 publications, including technical reports on facade performance and datasets from monitoring six Danish office rooms. She has collaborated on projects funded by Danish energy initiatives and international networks. Larsen actively engages in conferences, presenting on topics like CFD simulation validation and building energy modeling. She contributes to educational initiatives on sustainable building practices and advises on holistic indoor environmental assessment methodologies. Her work bridges academic research and practical applications, addressing challenges in building energy systems, ventilation optimization, and climate-responsive design. Current activities include advancing dynamic energy certification frameworks to reflect real-world building performance.

Mahdi Abkarمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Turbulence
• Data-driven Modeling
• +۵ مورد دیگر

Mahdi Abkar is an Associate Professor at the Department of Mechanical and Production Engineering, Aarhus University, leading the Fluids and Energy section. His research focuses on fluid mechanics, turbulence modeling, and wind energy optimization using computational fluid dynamics (CFD) and machine learning techniques. Research Areas: Fluid Mechanics, Turbulence, Wind Energy, Data-Driven Modeling Affiliation: Aarhus University, College of Engineering His recent work emphasizes turbulence modeling, LES/RANS simulation improvements, and wind farm power prediction. Articles highlight data-augmented models, flow separation analysis, and drag reduction strategies. He contributes to CFD applications in renewable energy systems, including ultrasonic flow meter design and atmospheric boundary layer interactions.

Pierre-Elouan Mikael Réthoréمشاهده پروفایل

پژوهشگر

• Wind Turbine Engineering
• Computational Fluid Dynamics
• Offshore Wind
• +۷ مورد دیگر

Pierre-Elouan Mikael Réthoré is a Researcher at the Department of Wind and Energy Systems of the Technical University of Denmark (DTU). His work focuses on wind energy systems, particularly in Wind Turbine Engineering , Computational Fluid Dynamics , and Offshore Wind technologies. He leads the System Engineering and Optimization section within the Wind Energy Systems Division .

Mohsen Banaeiمشاهده پروفایل

پژوهشگر

• Energy Flexibility
• Power Systems
• Distributed Energy Systems
• +۴ مورد دیگر

Mohsen Banaei is a tenure-track researcher in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU) . His work focuses on energy flexibility, power systems, and smart grid technologies, with contributions to renewable energy integration and optimization algorithms. Key research areas: Demand-side flexibility analysis TSO-DSO coordination mechanisms Secure grid automation solutions Energy forecasting models Stochastic optimization of energy systems Collaborations: Banaei collaborates with researchers across Denmark and internationally, with significant contributions to projects involving distributed energy resources, grid resilience, and Internet of Energy platforms. Contact: Email: moban@dtu.dk Phone: 91107129 Location: Asmussens Allé, 303B, 009, 2800 Kgs. Lyngby, Denmark

Rune Hylsberg Jacobsenمشاهده پروفایل

استاد

• Energy Systems
• Drone Technology
• Blockchain Applications
• +۱۲ مورد دیگر

Rune Hylsberg Jacobsen is a Professor at the Department of Electrical and Computer Engineering, Aarhus University. His work bridges energy systems, drone technology, and blockchain applications, with a focus on smart grids, autonomous systems, and decentralized infrastructure. Research interests include: Security frameworks for prosumer-driven energy systems using blockchain mmWave and LEO satellite communication protocols Homomorphic encryption for smart meter privacy Cooperative drone swarm navigation and infrastructure inspection Earth observation via CubeSats for climate research His recent publications highlight advancements in: Zero trust security models for renewable energy certificates Transport protocol optimization in satellite networks AI-driven charging window scheduling for drone fleets Decentralized identity management in Web3 infrastructure Key projects include: DISCO-2: Student CubeSat for Arctic climate monitoring Drones4Safety: Safety-critical inspection systems VPP4SGR: Virtual Power Plant networks